Machine Learning and Quantitative Analyst
4 days ago
Job Summary:
Quantitative Talent Ltd is seeking a highly skilled Quantitative Researcher to join its team in London. This role focuses on alpha generation for high-frequency trading (HFT) and mid-frequency trading (MFT) strategies.
Key Responsibilities:
- Develop and implement quantitative models for alpha generation, utilizing statistical and machine learning techniques on large datasets.
- Conduct research to identify new trading opportunities, collaborating with senior researchers to enhance HFT and/or MFT strategies.
- Backtest and validate trading strategies for robustness and profitability, ensuring alignment with company goals.
- Collaborate with cross-functional teams to drive business growth and improve trading performance.
- Stay up-to-date with industry trends and advancements in quantitative research, applying knowledge to drive innovation and improvement.
Requirements:
- Master's degree or PhD in Mathematics, Statistics, Computer Science, or Engineering.
- At least 1 year of experience in alpha generation in HFT or MFT strategies (maximum holding period 2 days).
- Experience in quantitative research on equities, futures, and/or cryptocurrencies.
- Strong Python programming skills; experience with NumPy and Pandas is a plus.
- Knowledge of quantitative research methods and financial markets.
- Excellent problem-solving, communication, and teamwork skills in a fast-paced environment.
Nice to Have:
- Experience with C++ or other programming languages.
- Understanding of machine learning techniques and tools.
- Knowledge of high-frequency trading and market microstructure.
- Previous experience in a trading environment or a similar role.
- Achievements in the International Mathematical Olympiad (IMO) and/or the International Olympiad in Informatics (IOI).
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